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Python for Data Analysis: Python Fundamentals

Nov 2, 2023
2:00pm to 4:00pm
Online venue
University of Iowa, Iowa City, IA 52242

1. Overview

Python is a popular general-purpose programming language. This 2-day workshop focuses on the basic concepts and features of Python, with an emphasis on the module pandas. These basic concepts will serve as building blocks for future data analysis tasks. The workshop is taught using JupyterLab in the Interactive Data Analytics Service (IDAS).

2. Prerequisites

No experience with Python or JupyterLab is required.

3. Eligibility

This workshop is available to current University of Iowa faculty, staff, and students, who are employed by the University or enrolled in a class at the University at the time of the workshop.

4. How to register

Click HERE then log in with your HawkID and password. Click “Register now” at the bottom of the page to register. After registering successfully, an automated email with a Zoom link will be sent to your University of Iowa email. Registration will close at 10 am on Friday, Oct. 27, 2023.

5. Additional information         

If you have any questions, please see the workshop FAQs or contact research-computing@uiowa.edu.

6. Workshop agenda

This workshop is taught in 2 sessions over 2 days. The later session builds on the previous one. Participants are encouraged to attend all sessions to learn the complete contents of the workshop.

Again, note that we start by learning the basic concepts and features of Python that will be relevant for data analysis tasks later. If you are already familiar with the concepts below, please see the workshop FAQs for a list of additional, free learning resources.

Tentative topics to be covered:

Day 1:

  • A brief overview of using JupyterLab and Jupyter Notebook documents
  • Variable assignment
  • Built-in functions
  • Getting help in Python
  • Getting and setting the current working directory
  • Modules
  • Using the pandas module to read and inspect tabular data

Day 2:

  • Lists
  • Select a subset of a DataFrame
  • Booleans
  • Comparison statements
  • Summary statistics
  • Create groups and get summary statistics by groups
  • Sort values
  • Resources for after the workshop

Individuals with disabilities are encouraged to attend all University of Iowa–sponsored events. If you are a person with a disability who requires a reasonable accommodation in order to participate in this program, please contact Giang Rudderham in advance at (319)353-5982 or giang-rudderham@uiowa.edu